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    Data Analyst Resume Example (2026)

    What makes a strong data analyst résumé

    A strong data analyst resume foregrounds your tools (SQL, Excel, Python, and a BI tool like Tableau or Power BI) and frames every project by the decision it informed or the value it created. Quantify impact — dollars saved, hours automated, accuracy improved — and mirror the specific stack and domain language in the job posting.

    Data Analyst résumé sample

    [ Your Name ]
    Data Analyst · city, state · email · phone · linkedin
    Professional Summary

    Data Analyst with 4+ years turning messy datasets into decisions. Fluent in SQL, Python, and Tableau, with a record of building dashboards and analyses that directly shaped pricing, marketing, and operations strategy.

    Core Skills
    SQLExcel (advanced)Python (pandas)Tableau / Power BIData visualizationA/B testing & statisticsETL & data cleaningDashboard designStakeholder reportingForecasting
    Experience
    Data Analyst · Insight Retail2022 – Present
    • ▸Built a Tableau dashboard suite adopted by 5 departments, cutting weekly reporting time by 12 hours.
    • ▸Ran a pricing analysis in SQL and Python that informed a change adding $480k in annual margin.
    • ▸Automated an ETL cleaning pipeline that reduced data prep errors by 60%.
    Junior Data Analyst · MarketEdge2020 – 2022
    • ▸Delivered weekly KPI reports to marketing leadership, improving campaign decisions.
    • ▸Designed and analyzed A/B tests that increased email click-through 14%.
    • ▸Maintained data quality across a 2M-row customer database.
    Education

    B.S. in Statistics

    ATS keywords for a data analyst résumé

    Applicant Tracking Systems score your résumé on how well it matches the job description. These are the terms most commonly weighted for this role — include the ones that are genuinely true of your experience, using the exact wording from the posting.

    ✓SQL✓Python✓Tableau✓Power BI✓data visualization✓ETL✓dashboards✓A/B testing✓statistical analysis✓Excel✓KPIs✓reporting

    Common data analyst résumé mistakes

    • ✕Listing tools (SQL, Tableau, Excel) without a single business decision your analysis changed.
    • ✕Vague bullets like 'analyzed large datasets' — name the dataset size, the question, and what the business did with the answer.
    • ✕Ignoring stakeholder communication — analysts who can present to non-technical teams are the ones who get hired.
    • ✕Leaving certifications and coursework above hands-on dashboards and reports that executives actually used.
    • ✕No mention of data quality or pipeline work, which is half the real job and a keyword ATS filters check.

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